Principal Project/Program Manager (Tech Care)

Key Responsibilities Systems Integration & API Development Design, develop, and maintain integrations between internal and external platforms. Build and consume REST and other API-based services. Develop middleware, connectors, and automation workflows that enable seamless data exchange across systems. Troubleshoot integration issues and optimize performance, reliability, and scalability. Evaluate new platforms and software solutions and rapidly develop working integrations. Data Engineering & Analytics Extract, transform, and load (ETL/ELT) data from multiple structured and unstructured data sources. Design scalable data pipelines and data models to support reporting, analytics, and AI initiatives. Work directly with raw, complex, and potentially incomplete datasets to create trusted data assets. Ensure data quality, governance, security, and lineage standards are met. Optimize data processing workflows for performance and reliability. AI / Machine Learning Enablement Integrate AI services, LLMs, predictive models, and intelligent automation capabilities into business workflows. Support development and deployment of AI and machine learning solutions. Prepare, transform, and engineer data for ML and GenAI use cases. Partner with business teams to identify opportunities for AI-driven process improvements. Evaluate emerging AI technologies and recommend practical business applications. Reporting & Visualization Design Design and develop dashboards, reports, and visualizations that drive business decisions. Translate complex datasets into intuitive and actionable insights. Work closely with leadership and business stakeholders to define KPIs and success metrics. Build self‑service analytics solutions where appropriate. Technology Evaluation & Continuous Learning Rapidly learn unfamiliar systems, platforms, and technologies. Assess new tools and determine technical feasibility, integration requirements, and business value. Serve as a technical problem solver capable of navigating ambiguity. Stay current with emerging trends in AI, machine learning, analytics, cloud technologies, and software development. Required Qualifications Technical Skills Strong software development experience using one or more modern programming languages: Python, Java, C#, JavaScript/TypeScript Experience building and consuming APIs and web services Strong SQL skills and experience working with enterprise‑scale datasets Experience developing data pipelines and automation workflows Understanding of cloud platforms and data ecosystems Experience creating analytics solutions and data visualizations Familiarity with AI/ML concepts and modern AI platforms Data & Analytics Experience Experience working directly with raw data sources Strong data modeling and transformation skills Proficiency in dashboard and reporting platforms such as Power BI, Tableau, or Looker AI / ML Familiarity Machine Learning, Generative AI, Large Language Models (LLMs), Prompt Engineering Retrieval‑Augmented Generation (RAG) or other knowledge systems AI APIs and model integration Integration Capable of integrating multiple enterprise systems through APIs or other mechanisms Ability to understand and map complex business processes across platforms Experience with workflow orchestration and automation solutions Critical Success Factors Learns new technologies exceptionally fast Comfortable operating in ambiguous environments Can independently investigate unfamiliar systems and determine how to integrate them Think in terms of end‑to‑end solutions rather than individual technologies Bridges the gap between business problems and technical implementation Communicates effectively with both engineers and non‑technical stakeholders Demonstrates curiosity, initiative, and a strong ownership mentality Equally comfortable discussing APIs, data pipelines, AI models, and executive dashboards Preferred Experience Building AI‑enabled business solutions Cloud platforms (Azure, AWS, or GCP) Data warehouses and lakehouses: Snowflake, Databricks, Fabric, Synapse, or similar platforms Git, CI/CD, and DevOps practices Event‑driven architectures and messaging platforms MLOps or AI deployment frameworks Enterprise workflow automation Salary & Location Annual salary: $130,700 - $196,100 USD. Location: Dallas, Texas. Weekly hours: 40. Time type: Regular. Benefits Medical/Dental/Vision coverage 401(k) plan Tuition reimbursement program Paid Time Off and Holidays (at least 23 days of vacation each year and 9 company‑designated holidays) Paid Parental Leave Paid Caregiver Leave Additional sick leave beyond state and local law Adoption Reimbursement Disability Benefits (short term and long term) Life and Accidental Death Insurance Other supplemental benefits: critical illness/accident, hospital indemnity, group legal Employee Assistance Programs (EAP) Employee wellness programs Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone Equal Employment Opportunity It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made. #J-18808-Ljbffr Cricket Wireless LLC.